Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods by Luwei Li, Xian Huang, Cijin Yan, Shuzhan He, Sishuai Cheng, WenJie Yang

“…Abstract Background Using medical big data from two large-scale populations, a prediction model for continuous variables of raw data and a prediction model for categorical variables after assignment were constructed to evaluate the performance of the two forms of data preprocessing models. …”
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Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration by Xiaomei Shao, Ling Zhang, Yuting Wang, Youmei Ying, Xueqin Chen

“…To enhance clinical applicability, the final model was deployed as a publicly accessible web-based risk calculator.ResultsCatBoost emerged as the best model, achieving an accuracy of 84%, AUC of 0.89, sensitivity of 81%, and specificity of 84%. …”
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Mathematical Evaluation of Classical and Quantum Predictive Models Applied to PM2.5 Forecasting in Urban Environments by Jesús Cáceres-Tello, José Javier Galán-Hernández

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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…While machine learning (ML) models are increasingly being used for ARDS prediction, there is a lack of consensus on the most effective model or methodology. …”
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A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width by Ala Alkhatib, Lori Lyn Price, Rania Esteitie, Peter LaCamera

“…Clinical factors including age, gender, comorbidity score, Sequential Organ Failure Assessment (SOFA) score, and PaO2/FiO2 ratio were chosen for the base model to predict ICU mortality. The RDW value at the time of ARDS diagnosis was added to the base model to determine if it improved its predictive ability. …”
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A predictive model for the effects of compression of fouling layers on the filtration performance of flat-sheet membrane bioreactors by Suzanne A. Yala, V.L. Pillay

“…Across all the conditions, the model predictions were in good agreement with the experimental data. …”
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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

“…Our strategy involves continuously feeding historical data into selected models to predict future sales volumes. By identifying patterns in the data, we aim to make the predictions more tangible and assess the validity of our approach through a statistical linear regression model. …”
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Development and validation of a predictive model for early functional recovery in the post-hip fracture surgery population by Shumei Tan, Jing Wen Foong, Jia Wen Kam, Chia Wen Samantha Foo, Kai Xuan Kiyoko Ong

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Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications by Ahmed Hamed Ahmed Adam, Jiawei Chen, Minghan Xu, Salah Kamel, Guma Ali

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Insensitive Mechanism-Based Nonlinear Model Predictive Guidance for UAVs Intercepting Maneuvering Targets with Input Constraints by Danpeng Huang, Mingjie Zhang, Taideng Zhan, Jianjun Ma

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Machine Learning-Based Predictive Modeling of Infrared Spectroscopic Data from Thermal Conversion of Athabasca Bitumen by Noora Al Mansoori, Munawar Abdul Shaik, Kaushik Sivaramakrishnan

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Integrated intraoperative predictive model for malignancy risk assessment of thyroid nodules with atypia of undetermined significance cytology by Cheng Li, Yong Luo, Yan Jiang, Qi Li

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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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Development and validation of a predictive model for in-hospital mortality in patients with coronary heart disease and renal insufficiency by Yahui Li, Hongsen Cai, Wei Zheng, Meijie Wang, Man Huang, Luyun Wang, Daowen Wang, Chunxia Zhao, Wenguang Hou, Hu Ding, Yan Wang, Hongling Zhu

“…This study aimed to develop and validate a predictive model for in-hospital mortality to enable early risk identification in these patients. …”
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Energy Management Strategy for Hybrid Electric Vehicles Based on Adaptive Equivalent Ratio-Model Predictive Control by Farah Mahdi Ali, Nizar Hadi Abbas

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Predictive integrated modelling of the hybrid and baseline scenarios of JT-60SA in view of the second operational phase by S. Gabriellini, V.K. Zotta, L. Garzotti, N. Aiba, J.-F. Artaud, G. Giruzzi, G. Pucella, C. Sozzi, D. Taylor, T. Wakatsuki, L. Burla, C. Leoni, R. Gatto, the JT-60SA integrated project team

“…The decision to use the BgB model is driven not only by its widespread application in predicting scenarios for JET and JT-60U similar to those anticipated for JT-60SA, but also by its low computational cost. …”
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Optimization and predictive modelling for the diameter of nylon-6,6 nanofibers via electrospinning for coronavirus face masks by Malihe Zeraati, Rana Pourmohamad, Bahareh Baghchi, Narendra Pal Singh Chauhan, Ghasem Sargazi

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Research on Feed Forward Adaptive-generalized Model Predictive Control for High-speed Train Automatic Operation by LUO Yuan, YI Jie, BAI Jinlei, ZHANG Zhengfang

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Advancing Kiwifruit Maturity Assessment: A Comparative Study of Non-Destructive Spectral Techniques and Predictive Models by Michela Palumbo, Bernardo Pace, Antonia Corvino, Francesco Serio, Federico Carotenuto, Alice Cavaliere, Andrea Genangeli, Maria Cefola, Beniamino Gioli

“…Among the different regression models, the GPR-based model showed the best performance in predicting kiwifruit soluble solids content, glucose, and fructose. …”
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Environmental risk of per- and polyfluoroalkyl substances (PFAS) in freshwater ecosystems: Integrating predictive and empirical toxicity models by Muhammad Raznisyafiq Razak, Didi Erwandi Mohamad Haron, Muhammad Qusyairi Jori Roslan, Nawaltul Akma binti Ahmad Sabri, Ahmad Zaharin Aris

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